Based on the DEA model, the green efficiency, environmental efficiency, and economic efficiency of water resources in Henan Province were evaluated. The temporal-spatial characteristics of water resources efficiency were analyzed using ArcGIS software, and the correlation analysis was carried out using GeoDa software. The results demonstrate that water resources efficiencies in Henan Province have different trends, in which the economic efficiency shows a downward trend, while the environmental efficiency and green efficiency show fluctuating upward trends; water resources efficiency gaps of 18 cities also have different trends, in which the gap of economic efficiency shows a narrowing trend, while those of environmental efficiency and green efficiency show increasing trends; the economic efficiency is obviously higher than the environmental efficiency and green efficiency. Cities with high grade and medium-high grade of economic efficiency, and those with low grade and medium-low grade of economic efficiency account for 50%, respectively, while cities with high grade and medium-high grade of environmental efficiency and green efficiency, and those with low grade and medium-low grade of environmental efficiency and green efficiency account for 55. 6% and 44. 4%, respectively. There are characteristics of spatial agglomeration for the areas with similar values of water resources efficiency in Henan Province, with an increasing trend of global spatial autocorrelation for the economic efficiency, and a decreasing trend of global spatial autocorrelation for the environmental efficiency and green efficiency. Anyang City is the only one low-low cluster area of the green efficiency, environmental efficiency, and economic efficiency; the high-high cluster areas of the economic efficiency are Pingdingshan, Xuchang, Luohe, and Zhoukou cities, those of the environmental efficiency are Pingdingshan and Xuchang cities, and those of the green efficiency are Luoyang and Xuchang cities; and there is not any low-high and high-low cluster areas for the green efficiency, environmental efficiency, and economic efficiency.